Factors associated with glycemic control in Korean older adults with diabetes living alone: A secondary analysis

PURPOSE: Older adults living alone face challenges in managing diabetes, yet research on glycemic control in this group is limited. This study analyzed data from the Korean National Health and Nutrition Examination Survey (2016~2021) to identify factors associated with glycemic control in 453 older adults with diabetes living alone. METHODS: Glycemic control was categorized as good (glycated hemoglobin [HbA1c]<7.0%) or poor (HbA1c≥7.0%). Complex sample logistic regression examined demographic, disease and health-related, behavioral, and psychological factors associated with glycemic control. RESULTS: Older adults aged ≥80 years had better glycemic control than those aged 65~69 years, while a diabetes duration of ≥15 years and higher body mass index were linked to poorer control. Strength training 5~7 days per week was associated with better control, whereas non-adherence to a healthy diet was unexpectedly linked to better outcomes. CONCLUSION: These findings highlight the need for tailored interventions to improve diabetes self-management and support healthy aging among older adults living alone. They also offer practical insights into shaping community-based health programs and social support systems for this population.

Authors

Institutions

Publication Details

Journal
Journal of Korean Gerontological Nursing
Published
2026-05-29
DOI
https://doi.org/10.17079/jkgn.2025.00416
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors associated with glycemic control in Korean older adults with diabetes living alone: A secondary analysis

Gi Won Choi, Sun Ju Chang, Joo Ri Kim, Hee Jung Kim et al.
Journal of Korean Gerontological Nursing
Diabetes Management and Education
article

Factors associated with glycemic control in Korean older adults with diabetes living alone: A secondary analysis

Gi Won Choi, Sun Ju Chang, Joo Ri Kim, Hee Jung Kim, Yeon Woo Jung, Yujin Park
article en

Abstract

PURPOSE: Older adults living alone face challenges in managing diabetes, yet research on glycemic control in this group is limited. This study analyzed data from the Korean National Health and Nutrition Examination Survey (2016~2021) to identify factors associated with glycemic control in 453 older adults with diabetes living alone. METHODS: Glycemic control was categorized as good (glycated hemoglobin [HbA1c]<7.0%) or poor (HbA1c≥7.0%). Complex sample logistic regression examined demographic, disease and health-related, behavioral, and psychological factors associated with glycemic control. RESULTS: Older adults aged ≥80 years had better glycemic control than those aged 65~69 years, while a diabetes duration of ≥15 years and higher body mass index were linked to poorer control. Strength training 5~7 days per week was associated with better control, whereas non-adherence to a healthy diet was unexpectedly linked to better outcomes. CONCLUSION: These findings highlight the need for tailored interventions to improve diabetes self-management and support healthy aging among older adults living alone. They also offer practical insights into shaping community-based health programs and social support systems for this population.

Journal of Korean Gerontological NursingVol. 28(2)
Seoul National University (KR), Eulji University (KR), Konkuk University (KR), Shaikh Khalifa Medical City (AE), New Generation University College (ET)
Seoul National University
No poverty
Openalex Percentile: Top 7%
Diabetes Management and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.